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Data Collection: Online, Telephone and Face-to-face
  • Level Foundation
  • المدة 21 ساعات hours
  • الطبع بواسطة University of Michigan
  • Offered by

عن

This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys. The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys). Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design.

الوحدات

1.1 What this course is … and is not

    • 1 Videos
    • 4 Readings
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1 Videos

  • 1.1 What this course is … and is not

4 Readings

  • Module 1 Overview
  • Help us learn more about you!
  • Module 1 Required Readings
  • Module 1 Lecture Slides

1.2 Survey Error

    • 3 Videos
    • 1 Discussion
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1 Discussions

  • Survey Error

3 Videos

  • 1.2.1 Introduction to Survey Errors
  • 1.2.2 Variable Error and Bias
  • 1.2.3 Total Survey Error

1.3 Survey Mode

    • 2 Videos
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2 Videos

  • 1.3.1 What do we mean by “mode?”
  • 1.3.2 Mode Choice (by respondent)

1.4 Mixed Mode Surveys

    • 4 Videos
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4 Videos

  • 1.4.1 Mixed Mode Design
  • 1.4.2 Concurrent Mixed Mode
  • 1.4.3 Sequential (Follow-up) Mixed Mode
  • 1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs

1.5 Nonresponse

    • 2 Videos
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2 Videos

  • 1.5.1 Response Rates
  • 1.5.2 Nonresponse Error

Module 1 Quiz

    • 1 Readings
    • 1 Quiz
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1 Readings

  • Notice for Auditing Learners: Assignment Submission

1 Quiz

  • Module 1: Classic Modes of Data Collection

Lesson 2.1 Automated Self-Administration

    • 2 Videos
    • 3 Readings
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2 Videos

  • 2.1.1 Modes (interviewer- and self-administered), CASI, ACASI
  • 2.1.2 ACASI continued

3 Readings

  • Module 2 Overview
  • Module 2 Required Readings
  • Module 2 Lecture Slides

2.2 Online data collection

    • 3 Videos
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3 Videos

  • 2.2.1 Coverage
  • 2.2.2 Nonresponse
  • 2.2.3 Measurement

2.3 Interactivity and Web Surveys

    • 3 Videos
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3 Videos

  • 2.3.1 Progress Indicators, Running Tallies
  • 2.3.2 Online Definitions
  • 2.3.3 Speeding Interventions

2.4: Interview with Reg Baker

    • 1 Videos
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1 Videos

  • 2.4 Reg Baker (MRII) about web surveys in market research

Module 2 Quiz

    • 1 Discussion
    • 1 Quiz
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1 Discussions

  • Modes

1 Quiz

  • Quiz Two

3.1 Interviewers impact on participation and sampling

    • 3 Videos
    • 3 Readings
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3 Videos

  • 3.1.1 Interviewer Roles, Obtaining Interviews
  • 3.1.2 Respondent selection, Within Household Sampling
  • 3.1.3 Proxy Responding

3 Readings

  • Module 3 Overview
  • Module 3 Required Readings
  • Module 3 Lecture Slides

3.2 Interviewing Technique

    • 3 Videos
    • 1 Discussion
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1 Discussions

  • Standardization Debate

3 Videos

  • 3.2.1 Standardization Debate: Wording vs. Meaning
  • 3.2.2 Different approaches to standardized interviewing
  • 3.2.3 Personal vs. Formal Style, I-R Rapport

3.3 Interviewer effects

    • 2 Videos
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2 Videos

  • 3.3.1 Variance: Interviewer Behavior
  • 3.3.2 Bias: Interviewers’ Fixed Attributes

3.4 Interview with Nora Cate Schaeffer

    • 1 Videos
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1 Videos

  • 3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing

Module 3 Quiz

    • 1 Quiz
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1 Quiz

  • Quiz Three

4.1 Emerging Modes

    • 4 Videos
    • 3 Readings
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4 Videos

  • 4.1.1 New Modes, New Data
  • 4.1.2 Mobile Web Surveys
  • 4.1.3 Text Message Surveys
  • 4.1.4 Text vs. Voice Interviews

3 Readings

  • Module 4 Overview
  • Module 4 Required Readings
  • Module 4 Lecture Slides

4.2 Administrative Records

    • 3 Videos
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3 Videos

  • 4.2.1 Record linkage: statistical issues
  • 4.2.2 Record linkage: Techniques
  • 4.2.3 Record linkage: informed consent and ethical issues

4.3 Big Data and Social Media

    • 4 Videos
    • 1 Discussion
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1 Discussions

  • Social Media and Survey Methods

4 Videos

  • 4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data
  • 4.3.2 Social media applications: Measuring Mood and Depression
  • 4.3.3 Social Media and Population Estimates: Successes
  • 4.3.4 Why does social media content align with surveys data sometimes and not other times?

4.4 Interview with Aigul Mavletova

    • 1 Videos
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1 Videos

  • 4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys

Module 4 Quiz

    • 1 Quiz
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1 Quiz

  • Module 4: Emerging modes, new data sources

Final Exam

    • 2 Readings
    • 1 Quiz
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2 Readings

  • Post-course Survey
  • Keep Learning with Michigan Online

1 Quiz

  • Final Exam

Auto Summary

Delve into the intricacies of survey data collection with this foundational course on Coursera, ideal for personal development. Presented by experts, the course explores how different survey methods—online, telephone, face-to-face, and more—impact data quality. Spanning 1260 minutes, it examines interview-based and self-administered techniques, mixed modes, and newer methods like SMS interviews. Perfect for those looking to understand the tradeoffs in survey design, this course emphasizes the effects on survey errors, measurement, and nonresponse. Available with a Starter subscription.

Frederick Conrad, Ph.D.
Instructor

Frederick Conrad, Ph.D.